Free Generative-AI-Leader Questions for Google Cloud Certified - Generative AI Leader Generative-AI-Leader Exam as PDF & Practice Test Engine

  • Exam Code/Number: Generative-AI-Leader
  • Exam Name/Title: Google Cloud Certified - Generative AI Leader Exam
  • Certification Provider: Google
  • Corresponding Certification: Google Cloud Certified
  • Exam Questions: 79
  • Updated On: Jul 13, 2026
An organization wants to use generative AI to create a marketing campaign. They need to ensure that the AI model generates text that is appropriate for the target audience. What should the organization do?
Correct Answer: D Vote an answer
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What is an example of unsupervised machine learning?
Correct Answer: C Vote an answer
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A logistics company wants to use a generative AI (gen AI) agent to automatically check real-time inventory levels across its warehouses and adjust delivery schedules. The gen AI agent needs access to internal inventory data. They want the most cost-effective solution. What should the organization do?
Correct Answer: D Vote an answer
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A company is developing a generative AI application to analyze customer feedback collected through online surveys. Stakeholders are concerned about potential privacy risks associated with this data, as the feedback contains personally identifiable information (PII). They need to mitigate these risks before using the data to train the AI model. What action should the company prioritize?
Correct Answer: D Vote an answer
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A company wants to choose a generative AI (gen AI) use case that will be successful and have the most impact. What key factor should they determine first according to Google Cloud-recommended practices?
Correct Answer: D Vote an answer
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An organization is collecting data to train a generative AI model for customer service. They want to ensure security throughout the ML lifecycle. What is a critical consideration at this stage?
Correct Answer: A Vote an answer
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What is a characteristic of Google Cloud as a generative AI company?
Correct Answer: A Vote an answer
A social media platform uses a generative AI model to automatically generate summaries of user-submitted posts to provide quick overviews for other users. While the summaries are generally accurate for factual posts, the model occasionally misinterprets sarcasm, satire, or nuanced opinions, leading to summaries that misrepresent the original intent and potentially cause misunderstandings or offense among users. What should the platform do to overcome this limitation of the AI-generated summaries?
Correct Answer: C Vote an answer
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